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Maintenance Costs and Advanced Maintenance Techniques in Manufacturing Machinery: Survey and Analysis
1National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Summary
Investing in advanced maintenance significantly reduces costs. Shifting from reactive to predictive maintenance cuts unplanned downtime by over 18% and defects by 87%, saving billions annually.
Area of Science:
- Industrial Engineering
- Operations Management
- Manufacturing Systems
Background:
- The financial implications of maintenance strategies are not fully understood.
- Inadequate maintenance incurs significant national economic losses.
Purpose of the Study:
- To estimate national maintenance costs and losses.
- To compare the economic impact of reactive, preventive, and predictive maintenance.
Main Methods:
- Data collected from manufacturers.
- Monte Carlo analysis for cost estimation.
- Categorization of respondents based on maintenance strategy reliance.
Main Results:
- Estimated annual maintenance costs/losses: $222.0 billion.
- Companies using predictive/preventive maintenance experienced 52.7% less unplanned downtime and 78.5% fewer defects.
- Predictive maintenance yielded 18.5% less downtime and 87.3% fewer defects compared to preventive maintenance.
Conclusions:
- Transitioning from reactive to advanced maintenance offers substantial economic benefits.
- Predictive maintenance demonstrates superior performance in reducing downtime and defects over preventive maintenance.
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